Evidence map›Paper›PMID 41431245›Full record

ArticleBrain and behavior2025

Transcranial Magnetic Stimulation-Induced Modulation of Functional Connectivity in Healthy Controls: A TMS-EEG Graph Study.

Inés Fernández-Linsenbarth, Gema Mijancos-Martínez, Saúl J Ruiz-Gómez, Alejandro Bachiller, Emma Osorio-Iriarte, Rosa M Beño-Ruiz-de-la-Sierra, Antonio Arjona-Valladares, Alejandro Roig-Herrero, Vicente Molina

Abstract read
In one paragraph

Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Inés Fernández-LinsenbarthPsychiatry Department, School of Medicine, University of Valladolid, Valladolid, Spain.
Gema Mijancos-MartínezBiomedical Engineering Research Centre (CREB), Department of Automatic Control (ESAII), Polytechnic University of Catalonia, Barcelonatech (UPC), Barcelona, Spain.ORCID https://orcid.org/0000-0002-5594-4821
Saúl J Ruiz-GómezBiomedical Engineering Research Centre (CREB), Department of Automatic Control (ESAII), Polytechnic University of Catalonia, Barcelonatech (UPC), Barcelona, Spain.
Alejandro BachillerBiomedical Engineering Research Centre (CREB), Department of Automatic Control (ESAII), Polytechnic University of Catalonia, Barcelonatech (UPC), Barcelona, Spain.
Emma Osorio-IriartePsychiatry Department, School of Medicine, University of Valladolid, Valladolid, Spain.
Rosa M Beño-Ruiz-de-la-SierraPsychiatry Department, School of Medicine, University of Valladolid, Valladolid, Spain.
Antonio Arjona-ValladaresPsychiatry Department, School of Medicine, University of Valladolid, Valladolid, Spain.
Alejandro Roig-HerreroPsychiatry Department, School of Medicine, University of Valladolid, Valladolid, Spain.
Vicente MolinaPsychiatry Department, School of Medicine, University of Valladolid, Valladolid, Spain.

Funding

Agència de Gestió d'Ajuts Universitaris i de Recerca FI-2022Fundació la Marató de TV3 202219-30-31Gerencia Regional de Salud de Castilla y León GRS 2487/A/22Instituto de Salud Carlos III PI22/00465Junta de Castilla y León and European Social Fund VA-223-19Ministerio de Ciencia, Innovación y Universidades PID2020-117751RB-I00
6 · The paper itself

Abstract

introductionThe combination of transcranial magnetic stimulation (TMS) and electroencephalography (EEG) enables direct interaction with the brain while recording the resulting neural activity, offering a unique opportunity to understand the brain's functional dynamics. In this study, TMS-EEG was employed to examine the effects of TMS on functional network connectivity through graph theory parameters.

methodsA total of 29 healthy controls underAuthor: Please check funding information and confirm its correctness.went a single-pulse TMS-EEG protocol targeting the dorsolateral prefrontal cortex. Three graph theory parameters summarizing functional network properties (i.e., connectivity strength, clustering coefficient, and characteristic path length) were analyzed before and after TMS application.

resultsTMS-single pulse administration over the dorsolateral prefrontal cortex of healthy controls was associated with a significant increase in connectivity strength and clustering coefficient, and a significant decrease in the characteristic path length parameters. These changes are consistent with a shift towards a small-world network organization.

conclusionThese findings provide insight into the neurophysiological mechanisms underlying TMS-induced changes and could have potential therapeutic implications.

Indexed as

BrainDorsolateral Prefrontal CortexElectroencephalographyNerve NetTranscranial Magnetic StimulationAdultBrain MappingFemaleHumansMaleNeural PathwaysPrefrontal CortexYoung Adultfunctional connectivitygraph theorysmall‐worldTMS–EEG

Identifiers

PMID41431245
PMCPMC12723073

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.